Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning

Authors

Mohammad S E Sendi, Emory University
Cory S Inman, University of Utah
Kelly R Bijanki, Baylor College of Medicine
Lou Blanpain, Emory University
James K Park, Emory University
Stephan Hamann, Emory University
Robert E Gross, Emory University
Jon T Willie, Washington University School of Medicine in St. Louis
Babak Mahmoudi, Emory University

Journal

Brain Stimulation

Publication Date

11-1-2021

Volume

14

Issue

6

First Page

1511

Last Page

1519

Document Type

Open Access Publication

DOI

10.1016/j.brs.2021.09.009

Rights and Permissions

Sendi MSE, Inman CS, Bijanki KR, Blanpain L, Park JK, Hamann S, Gross RE, Willie JT, Mahmoudi B. Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning. Brain Stimul. 2021 Nov-Dec;14(6):1511-1519. doi: 10.1016/j.brs.2021.09.009. © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Sendi, Mohammad S E; Inman, Cory S; Bijanki, Kelly R; Blanpain, Lou; Park, James K; Hamann, Stephan; Gross, Robert E; Willie, Jon T; and Mahmoudi, Babak, "Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning." Brain Stimulation. 14, 6. 1511 - 1519. (2021).
https://digitalcommons.wustl.edu/oa_4/3389

Additional Links

Supplemental material is available for this article at publisher site.